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BUG: xs MultiIndex integer level problem #2107 #2166

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BUG: xs MultiIndex integer level problem #2107 #2166

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5 changes: 5 additions & 0 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2025,6 +2025,11 @@ def xs(self, key, axis=0, level=None, copy=True):
indexer = tuple(indexer)
else:
indexer = loc
lev_num = labels._get_level_number(level)
lev = labels.levels[lev_num]
is_int_type = com.is_integer_dtype(lev)
if is_int_type:
indexer = self.index[loc]

result = self.ix[indexer]
setattr(result, result._get_axis_name(axis), new_ax)
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12 changes: 12 additions & 0 deletions pandas/tests/test_multilevel.py
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Expand Up @@ -359,6 +359,18 @@ def test_xs_level_multiple(self):
expected = df.xs('a').xs(4, level='four')
assert_frame_equal(result, expected)

#GH2107
import itertools
from string import letters
dates = range(20111201, 20111205)
ids = letters[:5]
idx = MultiIndex.from_tuples([x for x in itertools.product(dates, ids)])
idx.names = ['date', 'secid']
df = DataFrame(np.random.randn(len(idx), 3), idx, ['X', 'Y', 'Z'])
rs = df.xs(20111201, level='date')
xp = df.ix[20111201, :]
assert_frame_equal(rs, xp)

def test_xs_level0(self):
from pandas import read_table
from StringIO import StringIO
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